Umberto Michieli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 64

Top Topics

Semantic Segmentation

Semantic Representations

Feature Representations

Top Venues

Publications

Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR (2024)
Umberto Michieli, Mete Ozay
HOP to the Next Tasks and Domains for Continual Learning in NLP. CoRR (2024)
Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. ICASSP (2024)
Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. CoRR (2024)
Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. MMSys (2024)
Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. CoRR (2024)
Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR (2024)
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains. CoRR (2024)
Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. ICASSP (2024)
Umberto Michieli, Mete Ozay
HOP to the Next Tasks and Domains for Continual Learning in NLP. AAAI (2024)
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. ICASSP (2024)
Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. CoRR (2024)
Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. CoRR (2024)
Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR (2024)
Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
Road scenes segmentation across different domains by disentangling latent representations. Vis. Comput. 40 (2) (2024)
Umberto Michieli, Pablo Peso Parada, Mete Ozay
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. CoRR (2023)
Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV (2023)
D. Campagnolo, Elena Camuffo, Umberto Michieli, Paolo Borin, Simone Milani, Andrea Giordano
Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation. ICIP (2023)
Elena Camuffo, Umberto Michieli, Simone Milani
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation. CoRR (2023)
Umberto Michieli, Pablo Peso Parada, Mete Ozay
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. INTERSPEECH (2023)
Edward Fish, Umberto Michieli, Mete Özay
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. CoRR (2023)
James Stewart, Umberto Michieli, Mete Ozay
Data-Free Model Pruning at Initialization via Expanders. CVPR Workshops (2023)
Umberto Michieli, Marco Toldo, Mete Ozay
Federated Learning via Attentive Margin of Semantic Feature Representations. IEEE Internet Things J. 10 (2) (2023)
Chang Liu, Giulia Rizzoli, Francesco Barbato, Umberto Michieli, Yi Niu, Pietro Zanuttigh
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. CoRR (2023)
Edward Fish, Umberto Michieli, Mete Ozay
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. INTERSPEECH (2023)
Umberto Michieli, Mete Özay
Online Continual Learning for Robust Indoor Object Recognition. CoRR (2023)
Umberto Michieli, Mete Ozay
Online Continual Learning for Robust Indoor Object Recognition. IROS (2023)
Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR (2022)
Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains. CoRR (2022)
Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. CoRR (2022)
Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh
Continual coarse-to-fine domain adaptation in semantic segmentation. Image Vis. Comput. 121 (2022)
Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation. CoRR (2022)
Umberto Michieli, Pietro Zanuttigh
Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation. Int. J. Comput. Vis. 130 (11) (2022)
Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. CoRR (2021)
Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. WACV (2021)
Umberto Michieli, Pietro Zanuttigh
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CoRR (2021)
Umberto Michieli, Mete Ozay
Are All Users Treated Fairly in Federated Learning Systems? CVPR Workshops (2021)
Umberto Michieli, Pietro Zanuttigh
Knowledge distillation for incremental learning in semantic segmentation. Comput. Vis. Image Underst. 205 (2021)
Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
RECALL: Replay-based Continual Learning in Semantic Segmentation. CoRR (2021)
Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
RECALL: Replay-based Continual Learning in Semantic Segmentation. ICCV (2021)
Umberto Michieli, Pietro Zanuttigh
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CVPR (2021)
Umberto Michieli, Mete Ozay
Prototype Guided Federated Learning of Visual Feature Representations. CoRR (2021)
Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2021)
Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops (2021)
Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. CoRR (2020)
Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. ICPR (2020)
Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment. CoRR (2020)
Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. IEEE Trans. Intell. Veh. 5 (3) (2020)
Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. CoRR (2020)
Marco Toldo, Umberto Michieli, Pietro Zanuttigh
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. CoRR (2020)
Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. Image Vis. Comput. 95 (2020)
Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh
Unsupervised Domain Adaptation in Semantic Segmentation: a Review. CoRR (2020)
Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. ECCV (8) (2020)
Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. CoRR (2019)
Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops (2019)
Umberto Michieli, Pietro Zanuttigh
Incremental Learning Techniques for Semantic Segmentation. CoRR (2019)
Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC (2019)
Umberto Michieli, Pietro Zanuttigh
Incremental Learning Techniques for Semantic Segmentation. ICCV Workshops (2019)
Umberto Michieli, Pietro Zanuttigh
Knowledge Distillation for Incremental Learning in Semantic Segmentation. CoRR (2019)
Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops (2019)
Umberto Michieli, Leonardo Badia
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles. PIMRC (2018)
Umberto Michieli, Leonardo Badia
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles. CoRR (2018)
Umberto Michieli
Complex Network Analysis of Men Single ATP Tennis Matches. CoRR (2018)